RECURSIVE PREDICTION OF TRAFFIC VOLUME FOR CONTROL.

D. Lin; K. S.P. Kumar; L. L. Kinney

doi:10.1109/cdc.1977.271714

RECURSIVE PREDICTION OF TRAFFIC VOLUME FOR CONTROL.

D. Lin, K. S.P. Kumar, L. L. Kinney

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

The prediction of traffic volumes is an important element of current computerized street traffic control systems. A discussion is presented of a class of real time recursive algorithms to predict traffic volumes. A comparison of these algorithms with those of UTCS-2 and UTCS-3 is presented.

Original language	English (US)
Pages (from-to)	993-997
Number of pages	5
Journal	Proceedings of the IEEE Conference on Decision and Control
DOIs	https://doi.org/10.1109/cdc.1977.271714
State	Published - 1977
Externally published	Yes
Event	Proc IEEE Conf Decis Control Incl Symp Adapt Processes 16th, and, a Spec Symp on Fuzzy Set Theory and Appl - New Orleans, LA, USA Duration: Dec 7 1977 → Dec 9 1977

Publisher link

10.1109/cdc.1977.271714

Find It

Find It at U of M Libraries

Cite this

@article{107323744f304397a474cb63ffac521d,

title = "RECURSIVE PREDICTION OF TRAFFIC VOLUME FOR CONTROL.",

abstract = "The prediction of traffic volumes is an important element of current computerized street traffic control systems. A discussion is presented of a class of real time recursive algorithms to predict traffic volumes. A comparison of these algorithms with those of UTCS-2 and UTCS-3 is presented.",

author = "D. Lin and Kumar, {K. S.P.} and Kinney, {L. L.}",

year = "1977",

doi = "10.1109/cdc.1977.271714",

language = "English (US)",

pages = "993--997",

journal = "Proceedings of the IEEE Conference on Decision and Control",

issn = "0191-2216",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proc IEEE Conf Decis Control Incl Symp Adapt Processes 16th, and, a Spec Symp on Fuzzy Set Theory and Appl ; Conference date: 07-12-1977 Through 09-12-1977",

}

TY - JOUR

T1 - RECURSIVE PREDICTION OF TRAFFIC VOLUME FOR CONTROL.

AU - Lin, D.

AU - Kumar, K. S.P.

AU - Kinney, L. L.

PY - 1977

Y1 - 1977

N2 - The prediction of traffic volumes is an important element of current computerized street traffic control systems. A discussion is presented of a class of real time recursive algorithms to predict traffic volumes. A comparison of these algorithms with those of UTCS-2 and UTCS-3 is presented.

AB - The prediction of traffic volumes is an important element of current computerized street traffic control systems. A discussion is presented of a class of real time recursive algorithms to predict traffic volumes. A comparison of these algorithms with those of UTCS-2 and UTCS-3 is presented.

UR - http://www.scopus.com/inward/record.url?scp=0017705889&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0017705889&partnerID=8YFLogxK

U2 - 10.1109/cdc.1977.271714

DO - 10.1109/cdc.1977.271714

M3 - Conference article

AN - SCOPUS:0017705889

SN - 0191-2216

SP - 993

EP - 997

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

T2 - Proc IEEE Conf Decis Control Incl Symp Adapt Processes 16th, and, a Spec Symp on Fuzzy Set Theory and Appl

Y2 - 7 December 1977 through 9 December 1977

ER -

RECURSIVE PREDICTION OF TRAFFIC VOLUME FOR CONTROL.

Abstract

Publisher link

Find It

Other files and links

Fingerprint

Cite this